赵迪斐Difei Zhao

助理研究员

助理研究员

所在单位:人工智能研究院

职务:Lecturer

学历:博士研究生毕业

办公地点:中国矿业大学文昌校区科创楼人工智能研究院807-2 泉山区政府417办公室 江苏淮海科技城C10-3创享科技工作室 珠山数字经济产业园6#-203

主要任职:人工智能研究院科技双创孵化中心主任

其他任职:第16批江苏省科技镇长团徐州市数字经济产业科技镇长团成员,泉山区数字经济生态圈综合党委委员、泉山区数字产业制造业基础数字党支部书记

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Fractal Analysis and Classification of Pore Structures of High-Rank Coal in Qinshui Basin, China

发布时间:2022-10-03 点击次数:

影响因子:3.25
所属单位:Artificial Intelligence Research Institute, China University of Mining and Technology
发表刊物:Energies
项目来源:the Natural Science Foundation of Jiangsu Province (No. BK20210521), the Fundamental Research Funds
关键字:pore structure; coal; fractal; classification; coalbed methane; microstructure
摘要:The influence of high-rank coal’s pore characteristics on the physical properties, gas-bearing properties, and exploitation of coal reservoirs is becoming more and more prominent. How to establish the classification to describe the pore networks combining quantitative and qualitative characteristics has emerged as a major problem, which may offer a scientific foundation to deepen the understanding of this issue. In this research, the structure and fractal characteristics of reservoir pores were determined after analyzing 20 high-rank coal samples from Xinjing Coal Mine in the Qinshui Basin with the application of the high-pressure mercury intrusion method (HPMI) and argon ion polishing–field emission scanning electron microscopy (AIP–FESEM). The results show that the tested coal samples were bipolar distributed, with transitional pores and micropores dominating the pore volume, followed by macropores. The Menger sponge fractal models manifested two or three distinct straight-line segments with demarcation points of 65 nm and 1000 nm. A natural classification with three major pore types of diffusion pores (D-pores), seepage pores (S-pores), and pico pores (P-pores), demarcated by pore size intervals of 65 nm and 1 nm and seven sub-types, was established to relate pores to pore networks based on these fractal characteristics and the kinetic characteristics of methane molecules. This classification scheme can characterize the relationship between pore types and the corresponding major occurrence and transport mechanisms of the gas. In addition, P-pores and D-pores are predominately nanoscale OM pores with three major genetic types of organic constituent interparticle pores (5–200 nm), metamorphic pores (<5 nm), and intermorphic pores (<5 nm). S-pores are more complex in origin and shape features, and the major types include outgas pores, plant tissue residual pores, mineral-related pores, and microfractures. The mean radius (Pa), total pore volume (Vt), apparent porosity (Φ), and volume ratio of macro- and mesopores were positively correlated with the fractal dimension D1 of S-pores (>65 nm). Since fractal analysis is a more comprehensive characterization of reservoir structure and quantitatively reflects the pore structure, undulating state, and roughness of the inner surface, fractal parameters can be used as an important index to describe the pore structure characteristics of high-rank coal reservoirs.
论文类型:基础研究
学科门类:工学
文献类型:J
字数:7000
是否译文:
收录刊物:SCI
发布期刊链接:https://www.mdpi.com/1996-1073/15/18/6766/htm